| | --- |
| | license: apache-2.0 |
| | library_name: pytorch |
| | pipeline_tag: image-to-image |
| | datasets: |
| | - ylecun/mnist |
| | language: |
| | - en |
| | --- |
| | |
| | # DenseUNet |
| |
|
| | An image-to-image model for upscaling blurry MNIST-like images. |
| |
|
| | ## Table of contents |
| | - [Model Summary](#model-summary) |
| | - [Use Cases & Limitations](#use-cases--limitations) |
| | - [How to Use](#how-to-use) |
| | - [Model Details](#model-details) |
| | - [Training Procedure](#training-procedure) |
| | - [Evaluation](#evaluation) |
| | - [Ethical Considerations & Limitations](#ethical-considerations--limitations) |
| | - [Caveats and Recommendations](#caveats-and-recommendations) |
| | - [Citation](#citation) |
| | - [License](#license) |
| | - [Contact](#contact) |
| |
|
| | --- |
| |
|
| | ## Model Summary |
| | - **Task:** Image to image (upscaling) |
| | - **Architecture:** UNet with Dense layers |
| | - **Inputs:** MNIST image |
| | - **Outputs:** Upscaled images of numbers |
| | - **Intended Users:** Students learning image-to-image tasks |
| |
|
| | ## Use Cases & Limitations |
| | ### Intended uses |
| | - learning image-to-image model behavior |
| |
|
| | ### Out-of-scope uses / limitations |
| | - Not for production or deployment |
| |
|
| | ## How to Use |
| | ```python |
| | # ToDo |
| | ``` |
| |
|
| | ## Model Details |
| |
|
| | ## Training Procedure |
| |
|
| | ## Evaluation |
| |
|
| | ## Ethical Considerations & Limitations |
| |
|
| | ## Caveats and Recommendations |
| |
|
| | ## Citation |
| |
|
| | ## License |
| |
|
| | ## Contact |
